Institute for Software Research
School of Computer Science, Carnegie Mellon University


Visualizing spatial Dependencies in
Network Topology

Jamie Olson, Kathleen M. Carley

July 2010


Center for the Computational Analysis of Social and Organizational Systems
CASOS Technical Report

Keywords: Network analysis, geographic information, spatial networks, visualization

Increasingly, the data available to network analysts includes not only relationships between entities but the observation of entity attributes and relations in geographic space. Integrating this information with existing dynamic network analysis techniques demands new models and new tools. This paper introduces extensions to the ORA dynamic network analysis platform intended to meet this need. In particular, we present new visualization techniques for displaying the network topology of large, noisy datasets embedded in geographic space. We present these extensions and demonstrate them on some sample datasets.

23 pages

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